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Discussion
· Oct 12

Data quality is the main piece to get assertive AI responses?

This anthropic article made me think of several InterSystems presentations and articles on the topic of data quality for AI applications. InterSystems is right that data quality is crucial for AI, but I imagined there would be room for small errors, but this study suggests otherwise. That small errors can lead to big hallucinations. What do you think of this? And how can InterSystems technology help?

https://www.anthropic.com/research/small-samples-poison

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Question
· Oct 12

EnsLib.Kafka.Service, performance issues when working with topics that contain many messages

I need to build an integration solution that reads messages from a Kafka topic. The topic has 3 partitions and contains several million messages.

For certain reasons, I can only use the standard EnsLib.Kafka.Service class and cannot use either KafkaClient or Python.

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Announcement
· Oct 11

Videos for InterSystems Developers, September 2025 Recap

Hello and welcome to the September 2025 Developer Community YouTube Recap.
InterSystems Ready 2025
By Dean Andrews, David Reche
By Aldo Faisal
By Kari Hedges
By Scott Gnau, Peter Lesperance, Tom Woodfin, Gokhan Uluderya, Jeff Fried, Daniel Franco
 
"Rarified Air" videos
By John Paladino, Vice President of Client Services, InterSystems
"Code to Care" videos
When AIs Debate: Agentic AI in Action with Math Problems
By Don Woodlock, Head of Global Healthcare Solutions, InterSystems
Explaining Agentic AI Through Automated Bug FixingExplaining Agentic AI Through Automated Bug Fixing
By Don Woodlock, Head of Global Healthcare Solutions, InterSystems
InterSystems Demo Games
Health Evolve: Transforming Unstructured Data
By Vishal Pallerla, Erica Song, Louis Kabelka, Zelong Wang, John Murtha
AI Smart Data Fabric
By Kevin Kindschuh, Jeff Semmens
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Article
· Oct 11 10m read

Analisando a Performance em Tempo de Execução do IRIS ^PERFMON [JAVA Native SDK]

Documentação Técnica — Quarkus IRIS Monitor System

1. Objetivo e Escopo

Este módulo permite a integração entre aplicações Java baseadas em Quarkus e as capacidades nativas de monitoramento de performance do InterSystems IRIS.
Ele possibilita que o desenvolvedor anote métodos com @PerfmonReport, acionando automaticamente as rotinas ^PERFMON do IRIS durante a execução do método e gerando relatórios de performance sem intervenção manual.

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Article
· Oct 11 9m read

Analyzing IRIS ^PERFMON Runtime Performance Using the Java Native SDK

Technical Documentation — Quarkus IRIS Monitor System

1. Purpose and Scope

This module enables integration between Quarkus-based Java applications and InterSystems IRIS’s native performance monitoring capabilities.
It allows a developer to annotate methods with @PerfmonReport, which triggers IRIS’s ^PERFMON routines automatically around method execution, generating performance reports without manual intervention.

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